In-hospital risk prediction for post-stroke depression

Development and validation of the Post-stroke Depression Prediction Scale

Auteur(s) Janneke Man-van Ginkel, de; Thóra Hafsteinsdóttir; Eline Lindeman; Roelof G.A. Ettema; Diederick Grobbee; Marieke J. Schuurmans
Publicatiedatum 2013
Publicatietype Artikel
Kenniscentrum Hogeschool Utrecht, Kenniscentrum Innovatie van Zorgverlening
Lectoraat Chronisch Zieken
Samenvatting The timely detection of post-stroke depression is complicated by a decreasing length of hospital stay. Therefore, the Post-stroke Depression Prediction Scale was developed and validated. The Post-stroke Depression Prediction Scale is a clinical prediction model for the early identification of stroke patients at increased risk for post-stroke depression. he study included 410 consecutive stroke patients who were able to communicate adequately. Predictors were collected within the first week after stroke. Between 6 to 8 weeks after stroke, major depressive disorder was diagnosed using the Composite International Diagnostic Interview. Multivariable logistic regression models were fitted. A bootstrap-backward selection process resulted in a reduced model. Performance of the model was expressed by discrimination, calibration, and accuracy.
Trefwoorden depressie, beroerte, diagnose, screening
Taal Engels
Full-text Download
Gepubliceerd in Stroke
Jaargang/Volume 44 nr. 9
Paginabereik 2441-2445